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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Augmented Reality Applications
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

883 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
883 works in the cohort · of 4,299,418page 7 of 18

Labels cover 2 of 883 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 883 of 883 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

afffundunlabeled
Design of a tracked ultrasound calibration phantom made of LEGO bricks
Ryan R. Walsh, Marie Soehl, Adam Rankin, András Lassó, Gábor Fichtinger
2014· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
afffundno abstractunlabeled
Simulating Self-Motion II: A Virtual Reality Tricycle
Robert S. Allison, Lara Harris, Andrew Hogue, Urszula Jasiobedzka, H. L. Jenkin, Michael Jenkin +6 more
2002· article· en· Virtual Reality· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Virtual and Augmented Reality
Xiaojun Shen, Shervin Shirmohammadi
2006· book-chapter· en· Encyclopedia of Multimedia· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
NiwViw
Dianna Yim, Alec McAllister, Caelum Sloan, Rachel Lee, Steven Vi, Teresa Van +2 more
2018· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
6
citations
affunlabeled
Plane Detection and Product Trail using Augmented Reality
S. Ganesh Sundaram, A. Ponmalar, S. Deeba, Jose Anand A, S Aarthi, S P S P Shwetha
2022· article· en· 2022 1st International Conference on Computational Science and Technology (ICCST)· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Immersive Realities in Action
Mahesh Ganji
2025· book-chapter· en· Soft Computing Research Society eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Prototyping with Generative AI
Patrick Parra Pennefather
2023· book-chapter· en· Design Thinking· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Holobody galleries
Markus Santoso, Christian Jacob
2016· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Augmented Reality and Mobile Technologies
G. Potter
2011· book-chapter· en· Advances in mobile and distance learning book series· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Medical imaging specialists and 3D
Teddy Seyed, Francisco Marinho Rodrigues, Frank Maurer, Anthony Tang
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About